Channel
@tomato_novels
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
570subscribers
+8 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003261025650 |
|---|---|
| Type | Channel |
| Username | @tomato_novels |
| Created | Between 1 October 2025 and 17 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/tomato_novels |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 17:58 | 570 | +6 |
| 8 Aug 2026, 15:02 | 564 | +2 |
| 8 Aug 2026, 03:34 | 562 | no change |
| 7 Aug 2026, 16:03 | 562 | first reading |
20 posts held, back to 17 January 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 2 August 2026 |
|---|---|
| Posts held | 20 (17 January 2026 – 2 August 2026) |
| Views total | 358 |
| Reactions total | 36 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:34 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
585 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 63.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 370 | 63.2% | |
| 🔥 | 77 | 13.2% | |
| 🎉 | 32 | 5.47% | |
| ❤🔥 | 26 | 4.44% | |
| 🥰 | 24 | 4.10% | |
| 🐳 | 17 | 2.91% | |
| 🍓 | 16 | 2.74% | |
| 💘 | 7 | 1.20% | |
| 😁 | 7 | 1.20% | |
| 🤔 | 7 | 1.20% | |
| 🕊 | 2 | 0.342% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 16 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 585reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 17 January 2026 to 2 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
«Услышать твоё "люблю"» Эрши Шу ⚊ Hearing You Say Love; 听见你说爱 86 глав | 140 тысяч слов #китай, #естьперевод, #миди, #между16нами, #современность, #лайт, #здоровыеотношения, #повседневность, #психология, #болезнь Примерная оценка: 8.5/10 Страдающий от творческого кризиса художник находит свою Музу. И всё бы ничего, но художник рисует гейские эро-комиксы, а его Муза — высоченный мускулистый боксёр. ➥ "Гетеросексуальный…
❤27🔥5🍓3🕊1
Channel photo updated
«Социфоб в шкуре одержимого» Чэнхуа Вэйдэ Туцзи Тан ⚊ 社恐穿成了偏執狂 78 глав | 170 тысяч слов #китай, #естьперевод, #миди, #безразврата, #современность, #лайт, #нормотношения, #яндере, #повседневность, #шоубизнес, #флафф, #переселение, #книга Примерная оценка: 7/10 После своей смерти Сун Чжи, социофоб со стажем, переселяется в книгу о кинозвезде и занимает место сталкера. Сюжет вынуждает его следовать образу и преследовать…
❤37❤🔥3🍓2
Помидорковые отзывы 🍅 pinned «🍅 Навигация #важное Нажмите на название новеллы, чтобы перейти к отзыву ━━━━━━━━━━━━━━━━━━━━ Обозначения: 🌹 — Очень понравилось! Любимое или почти ✨ — Понравилось 🌱 — Нормально (не подошло по вкусам или вроде того) 🫧 — Не очень ━━━━━━━━━━━━━━━━━━━ ✨ «Монстр»…»
🍅 Навигация #важное Нажмите на название новеллы, чтобы перейти к отзыву ━━━━━━━━━━━━━━━━━━━━ Обозначения: 🌹 — Очень понравилось! Любимое или почти ✨ — Понравилось 🌱 — Нормально (не подошло по вкусам или вроде того) 🫧 — Не очень ━━━━━━━━━━━━━━━━━━━ ✨ «Монстр» Сяо Яоцзы 🌱 «Город ангелов» Цзиньгань Лу 1 Хао 🌱 «Ответ Киану Ривза» Цинмин Гуюй 🌱 «Тележка с блинами» Тон Цзы ✨ «Сквозь зал лилась мелодия пипы» Гао Тай Шусе 🫧 …
❤31🔥16🎉3🍓2❤🔥1
Channel photo updated
«Брак с лучшим другом» Чэн Юй ⚊ Married to My Bro; 嫁给好兄弟 50 глав (очень короткие) | 35 тысяч слов #китай, #естьперевод, #мини, #безразврата, #современность, #лайт, #нетстекла, #здоровыеотношения, #отдрузей, #комедия, #повседневность, #флафф Примерная оценка: 7,5/10 Жили-были два друга. Обоим родители надоедали с женитьбой; оба не горели желанием искать партнёра и подстраиваться под него. Одним вечером, пребывая в пья…
❤30💘6❤🔥4🍓1🥰1
«Истинное назначение кнопки вызова» Токпуги ⚊ The Purpose of a Nurse Call 1 глава | 7 тысяч слов #корея, #естьперевод, #оченьмини, #горячо, #современность Примерная оценка: 7,5/10 Заколебавшийся медбрат решает излечить богатого пациента от наглости за один сеанс терапии. Жёсткое в больничной палате. Садомазо. Читать без регистрации. Медбрат с садисткими наклонностями/зазнавшийся богатый пациент Не буду извиняться, хо…
❤20🔥10🍓3🥰3❤🔥1🕊1
«Не трогай щенка!» Марин Код ⚊ Не тронь пёсика; Don’t Mess with the Puppy; 강아지는 건드리지 마라 151 глава | 170 тысяч слов #корея, #естьперевод, #миди, #горячо (#многоразврата), #современность, #альтернатива, #лайт, #нормотношения, #комедия, #повседневность, #флафф, #мафия (+/-, схема похожа), #мпрег, #богачи, #зверочеловеки Примерная оценка: 7,5/10 Хисон — пёс-оборотень, работающий в игорном доме. У него нет родителей, нет …
❤30😁7❤🔥4🤔2🍓1
«Дождись меня после школы» Цзян Цзыбэй ⚊ Wait For Me After School; 放学等我 95 глав | 220 тысяч слов #китай, #естьперевод, #макси, #между16нами, #современность, #лайт, #здоровыеотношения, #повседневность, #школа Примерная оценка: 8,5/10 Юй Фань и Чэнь Цзишэнь были противоположностями во всех аспектах жизни. Двоечник и отличник, ребёнок из бедной семьи, ненужный родителям, и ребёнок, чей дом заполнен камерами гиперопекающ…
❤31🎉5❤🔥4
Channel photo updated
«Беззаботные» У Чжэ ⚊ Цинкуан; Беспечный; Qing Kuang; 轻狂 127 глав | 370 тысяч слов #китай, #естьперевод, #оченьмакси, #безразврата, #современность, #лайт, #нетстекла, #здоровыеотношения, #отдрузей, #слоуберн, #комедия, #повседневность, #психология, #школа Примерная оценка: 10/10 Отношения Коу Чэня и Хо Жаня не задались с самого начала. Всё началось с конфликта на баскетбольной площадке, возникшего на пустом месте, и …
❤34🐳8❤🔥5🎉4💘1
Showing the 12 most recent of 20 posts we hold for @tomato_novels. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 740,583 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Помидорковые отзывы 🍅” (@tomato_novels), 570 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/tomato_novels.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.